MONSTER ABRA A5 V15.8
Geekbench AI Score
7063
Single Precision Score
5579
Half Precision Score
4847
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | iosman |
| Upload Date | June 14 2025 03:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MONSTER ABRA A5 V15.8 |
| Motherboard | MONSTER ABRA A5 V15.8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2568
477.5 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.1 IPS |
|
|
Image Classification (Q)
|
99% |
2219
413.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4933
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4183
67.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4157
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26147
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16222
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
22924
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3498
277.5 IPS |
|
|
Object Detection (HP)
|
100% |
3411
270.5 IPS |
|
|
Object Detection (Q)
|
83% |
2830
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
7833
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (Q)
|
97% |
6550
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17066
131.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12307
94.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12898
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46890
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31868
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40403
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9491
350.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5556
205.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (Q)
|
97% |
823
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2560
44.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1094
20.5 IPS |
